基于遗传算法的区域供冷供热管网优化设计方法的改进研究

Improvement of Optimal Design of Central Cooling and Heating Pipe Network Based on genetic algorithm

为降低区域供冷供热管网投资成本,发挥系统最大效益,构建了以管网年度费用最小为优化目标的数学模型和约束条件,优化目标兼顾初投资、运行费用以及管理维护等各项经济指标。区域供冷供热管网化设计属于典型的组合优化问题,为了提高解算速度,将管网布置遗传优化算法与管径逐次逼近优化算法相结合,构造一种新型的混合算法,可以求解复杂管网全局优化设计中巨量维解空间的寻优问题,提高了管网优化设计效率和设计水平。

In order to reduce investment costs of pipe network and maximize the benefits of the system, a mathematic model with constrained conditions is built with the minimal annual cost of pipe network as the optimal objective function. It contains the initial investment, operation cost, as well as management and maintenance, etc. Optimal design of district cooling/heat pipe network is a typical issue of combinatorial optimization. To improve the solving speed of the pipe network, it advances a hybrid algorithm that synchronously applies layout of pipe network optimization by genetic algorithm and pipe diameter optimization by approach inch by inch algorithm. This new method is an improvement over traditional design efficiency and design level, and provides reference for solving massive dimensional optimization problems for whole optimal design of complex pipe network.